Background: Success in management of diabetes mellitus (DM) is defined as improvement of blood glucose concentrations and clinical signs. However, the psychological and social impact of DM and its daily treatment regimen on quality of life (QoL) of both animal and owner is uncertain. Hypothesis/Objectives: To design, validate, and apply a diabetic pet and owner‐centered, individualized measure of impact of DM (DIAQoL‐pet). Animals/Subjects: Two hundred and twenty‐one owners of insulin‐treated diabetic cats were recruited to complete the DIAQoL‐pet. Methods: Discussions and pilot surveys with clinicians and owners of diabetic cats led to the design of 29 specific DM‐associated QoL questions. Owners of diabetic cats completed the finalized survey. Each item was scored according to impact frequency and perceived importance. An item‐weighted impact score (IWIS) for each item was calculated, as was an average‐weighted impact score (AWIS) by averaging all IWISs. Principal component analysis and Cronbach's α calculation assessed the measure's reliability. Two overview questions measured overall QoL and diabetes‐dependent QoL. Results: The DIAQoL‐pet showed high reliability (Cronbach α 0.83). The AWIS was −1.76 ± 2.4 (mean ± SD). Areas reported as most negatively impacting QoL included: “boarding difficulties” (IWIS ± SD: −4.67 ± 5.3), “owner wanting more control” (−4.34 ± 4.7), “difficulties leaving cat with friends or family” (−4.21 ± 4.7), “worry” (−4.10 ± 3.9), “worry hypo” (−3.67 ± 3.5), “social life” (−3.48 ± 3.9), “costs” (−3.04 ± 3.8), and “work life” (−3.03 ± 3.7). Forty‐one percent of owners believed their cat's life would be “a little better” without DM. Conclusions and Clinical Importance: The DIAQoL‐pet proved robust and identified specific areas most negatively impacting on diabetic cats and their owners' QoL. This tool warrants further investigation for use in clinical or research settings.
Background: Diabetes mellitus (DM) management primarily focuses on improvement in blood glucose concentrations and clinical signs. A tool to assess the psychological and social impact of DM and its treatment on quality of life (QoL) previously has only been validated for feline DM.Hypothesis/Objectives: To validate a diabetic pet and owner-centered individualized measure of impact of DM (DIAQoL-pet) for diabetic dogs and their owners.Animals/Subjects: A total of 101 owners of insulin-treated diabetic dogs were recruited to complete the DIAQoL-pet. Methods: Discussions and pilot surveys with clinicians and owners of diabetic pets led to the design of 29 specific DM-associated QoL questions. Each item was scored according to impact frequency and perceived importance. An Item-Weighted-Impact-Score (IWIS) for each item was calculated, as was an Average-Weighted-Impact-Score (AWIS) by averaging all IWISs. Principal component analysis and Cronbach's a calculation assessed the measure's reliability.Results: The DIAQoL-pet showed high reliability (Communalities ! 0.5; Cronbach's a 0.85). The AWIS was À2.74 ± 1.7 (mean ± SD). Areas reported as most negatively impacting QoL included: "worry" (IWIS ± SD: À5.92 ± 4.3), "difficulties leaving dog with friends or family" (À5.68 ± 5.1), "worry vision" (À5.58 ± 4.6), "boarding difficulties" (À5.18 ± 5.2), "worry hypoglycemia" (À4.95 ± 4.3), "social life" (À4.82 ± 4.4), "costs" (À4.11 ± 4.7), and "future care"(À4.07 ± 4.6). Eighty-four percent of owners reported negative impact of DM on QoL.Conclusions and Clinical Importance: The DIAQoL-pet proved robust when used by owners of insulin-treated diabetic dogs and identified specific areas most negatively impacting dogs' and their owners' QoL. This tool could be used as an additional assessment parameter in clinical and research settings.
Today's veterinary students have access to a wide range of online resources that support self-directed learning. To develop a benchmark of current global student practice in e-learning, this study measured self-reported access to, and use of, these resources by students internationally. An online survey was designed and promoted via veterinary student mailing lists and international organizations, resulting in 1,070 responses. Analysis of survey data indicated that students now use online resources in a wide range of ways to support their learning. Students reported that access to online veterinary learning resources was now integral to their studies. Almost all students reported using open educational resources (OERs). Ownership of smartphones was widespread, and the majority of respondents agreed that the use of mobile devices, or m-learning, was essential. Social media were highlighted as important for collaborating with peers and sharing knowledge. Constraints to e-learning principally related to poor or absent Internet access and limited institutional provision of computer facilities. There was significant geographical variation, with students from less developed countries disadvantaged by limited access to technology and networks. In conclusion, the survey provides an international benchmark on the range and diversity in terms of access to, and use of, online learning resources by veterinary students globally. It also highlights the inequalities of access among students in different parts of the world.
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